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12

Statistical Programmer jobs in United Arab Emirates

Quantitative Researcher & Developer - Data Science

Abu Dhabi Investment Authority (ADIA)

Abu Dhabi
On-site
AED 150,000 - 200,000
9 days ago
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AED 120,000 - 200,000
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AED 120,000 - 200,000
10 days ago
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NIB – Banking and Statistical Analyst

KOTRA

Dubai
On-site
AED 120,000 - 200,000
30+ days ago

Quantitative Researcher

BHFT

United Arab Emirates
Remote
AED 120,000 - 200,000
30+ days ago

Quantitative Researcher

Elliot Partnership

Dubai
On-site
AED 220,000 - 331,000
30+ days ago

Quantitative Researcher

Fuse Energy

Dubai
On-site
AED 220,000 - 331,000
30+ days ago

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Quantitative Researcher & Developer - Data Science
Abu Dhabi Investment Authority (ADIA)
Abu Dhabi
On-site
AED 150,000 - 200,000
Full time
10 days ago

Job summary

A leading investment organization in Abu Dhabi is seeking a data scientist to develop and maintain data pipelines and automate data collection processes. The ideal candidate has a Ph.D. or Master's in a quantitative field and over 3 years of experience in data science, with strong skills in SQL and Python. This role involves solving complex problems and communicating effectively with stakeholders.

Qualifications

  • Strong proficiency in SQL and Python.
  • 3+ years in data science.
  • Experience with analytical techniques on large datasets.

Responsibilities

  • Develop pipelines for data ingestion and cleansing.
  • Generate descriptive statistics and uncover patterns.
  • Maintain automated systems for data collection.

Skills

Data Ingestion
Data Analysis
Data Infrastructure
Problem Solving
Communication
SQL
Python

Education

Ph.D. or Masters in a quantitative discipline
Job description
Overview

We want to crack the hardest challenges in systematic investing.

ADIA’s Quantitative Research & Development team works in a multidisciplinary environment, where experts with deep specializations pioneer new ways to think about investing, and put these ideas into practice.

Our team leverages data to enable the research, development and implementation of quantitative investment strategies by providing comprehensive, clean, and actionable data as well as building robust, efficient, and scalable technology.

Key Responsibilities
  • Data Ingestion & Cleansing: Develop pipelines to clean, tag and integrate new data sources.
  • Data Analysis: Generate descriptive statistics, uncover valuable patterns and present potential applications of datasets.
  • Data Infrastructure: Maintain automated systems for data collection, cleaning and retrieval.
  • Education: Ph.D. or Masters in a quantitative discipline or equivalent experience.
  • Experience: 3+ years in data science
  • Technical Skills: Strong proficiency in SQL and Python, as well as proficiency in at least one other language. Cloud experience and familiarity with financial data sets are a plus.
  • Analytical Skills: Experience with applying analytical and statistical techniques to large real-world datasets.
  • Problem Solving & Communication: Ability to solve complex problems and communicate findings to technical and non-technical stakeholders.
  • Passion for Data: Curiosity and desire to learn new methods and technologies.

* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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